NexusFlow

VTG's core Agentic AI capability - the intelligent orchestration layer that transforms heterogeneous data sources into coordinated, actionable insight.

NexusFlow is VTG’s core Agentic AI capability — the intelligent orchestration layer that transforms heterogeneous data sources into coordinated, actionable insight. It combines autonomous workflow coordination, advanced analytics and LLM-enabled reasoning to automate data interpretation, support evidence-based decision-making and deliver adaptive analytics tailored to each operational and regulatory context.

NexusFlow is not a standalone product — it is the connective backbone of the entire Nexus suite. When NexusEarth detects coastal erosion from satellite imagery, NexusFlow orchestrates the downstream response: correlating EO data with sensor readings, querying regulatory documents, generating a risk summary, and pushing the intelligence to NexusAtlas for operational decision-making. Every Nexus product can act as both a data source and an action target within NexusFlow’s multi-agent architecture.

Designed to operate alongside NexusTrust for governance and assurance, NexusFlow ensures that autonomous AI workflows remain transparent, auditable, and human-supervised — from initial data ingestion through to final decision output.

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Key Features

• Agentic workflow coordination across multiple data sources, tools, and Nexus products
• LLM-enabled reasoning over domain documents, regulations, and evidence corpora
• Adaptive analytics pipelines configurable per sector and per use case
• Automated data interpretation and report generation with source traceability
• Pluggable connectors for EO data, sensors, EHRs, GIS layers, video streams, and APIs
• Human-in-the-loop oversight with traceable decision logs at every orchestration step

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Application Areas

As the cross-cutting orchestration layer, NexusFlow is applicable across all Horizon Europe clusters:

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Technical Specification

Architecture	Multi-agent orchestration with modular tool/skill registry
AI Stack	LLM reasoning + classical ML + symbolic rules (hybrid AI)
Compute	GPU-accelerated inference and training (CUDA-capable)
Integration	REST/GraphQL APIs, message queues, event-driven hooks
Governance	Designed to operate alongside NexusTrust for assurance and oversight
Clusters	Cross-cutting — Clusters 1, 2, 3, 4, 5, 6

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How It Works

Multi-Agent Orchestration

NexusFlow operates as a multi-agent system where specialised agents handle distinct capabilities — data retrieval, document analysis, model inference, report generation, alert dispatch — and a supervisory orchestrator coordinates them into coherent workflows. When a task arrives, the orchestrator decomposes it into sub-tasks, assigns each to the appropriate agent, manages dependencies and sequencing, and assembles the final output. Agents can call external tools, query knowledge bases, invoke ML models, or delegate to other Nexus products — all within a single coordinated execution.

Hybrid AI Reasoning

NexusFlow does not rely on LLMs alone. Its hybrid AI architecture combines three reasoning modes: LLM reasoning for natural-language understanding, document interpretation, and flexible response generation; classical ML for structured prediction, time-series analysis, anomaly detection, and computer vision inference; and symbolic rules for domain constraints, regulatory logic, threshold-based triggers, and business rules that must be deterministic. The orchestrator selects the right reasoning mode for each sub-task, ensuring that creative flexibility and operational reliability coexist.

Pluggable Connectors

NexusFlow’s modular connector architecture means it adapts to each deployment context without re-engineering. Connectors exist for Earth Observation feeds (Copernicus, Sentinel), IoT sensor streams, electronic health records, GIS layers, video analytics pipelines, document repositories, and third-party REST APIs. Adding a new data source means registering a connector — the orchestration logic, analytics pipelines, and output formatting remain unchanged. This makes NexusFlow the integration point where heterogeneous, sector-specific data converges into unified analytical workflows.

Adaptive Analytics

The same NexusFlow deployment can power radically different analytical workflows depending on configuration. A coastal monitoring deployment might chain satellite image retrieval, change detection, risk scoring, and report generation. A healthcare deployment might chain patient record retrieval, clinical guideline lookup, triage recommendation, and clinician notification. The workflow definitions are declarative — sector experts define what should happen and in what order, while NexusFlow handles execution, error recovery, and evidence assembly.

Human-in-the-Loop Oversight

NexusFlow is designed for supervised autonomy, not unchecked automation. At configurable decision points, the workflow pauses for human review — presenting the evidence gathered, the reasoning applied, and the proposed action. The human operator can approve, modify, or override before execution continues. Every decision — human and machine — is logged with timestamps, evidence references, and actor identification, creating a complete audit trail that satisfies regulatory and institutional accountability requirements.

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NexusFlow Across the Nexus Suite

NexusFlow is the orchestration backbone that connects every Nexus product into a coherent operational capability:

• NexusEarth — triggers EO processing pipelines and ingests derived geospatial products
• NexusAtlas — pushes intelligence to the geospatial digital twin for visualisation and decision support
• NexusGrid — orchestrates energy grid analytics and demand forecasting workflows
• NexusCare — coordinates clinical monitoring alerts and care-pathway recommendations
• NexusGuard — enables cross-source reasoning across camera networks and security intelligence
• NexusCurate — manages provenance-preserving GenAI workflows for cultural heritage
• NexusScholar — provides document-intelligence and evidence synthesis as an orchestrated skill
• NexusScout — integrates field scouting data into agricultural decision workflows
• NexusBiome — feeds citizen-science biodiversity data into environmental monitoring pipelines
• NexusPlace — coordinates perception and placement decisions for robotic assembly
• NexusTrust — provides continuous assurance, monitoring, and governance across all workflows

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Heritage & Lineage

NexusFlow was generalised from VTG’s AI/ML toolkit work in TERRA (Horizon Europe, GA 101189962) and SILVANUS (H2020, GA 101037247), where multi-source data orchestration, automated analytical pipelines, and decision-support workflows were developed and validated across European pilot sites for environmental monitoring, wildfire management, and climate resilience operations.

Target Calls: Horizon-wide horizontal capability — applicable to Cluster 1, 2, 3, 4, 5 and 6 calls requiring AI orchestration, decision support, or trustworthy autonomy.